2025年6月6日
Utilizing a multimodal platform combining label-free optical imaging modalities, we have developed a protocol for visualizing and quantifying cellular dynamics and metabolism. Through imaging via multiphoton fluorescence, second harmonic generation, and stimulated Raman scattering microscopy, we can generate a holistic overview of the cellular and molecular environment.
Our research involves leveraging our multimodal microscope to measure molecular and metabolic differences in several pathologies and visualize their spatial heterogeneity. The multimodal approach to optical imaging enables us to identify pathophysiological changes from a variety of perspectives. The multimodal approach to optical microscopy is continuously expanding its applications, particularly in the clinical setting, where the development of micro endoscopes has opened an avenue for clinical imaging.
The current experimental challenges lie in the complexity of incorporating all the hardware with one another, which is part of the reason why we utilize a custom-built microscope system. Through the use of our multimodal optical imaging platform, we have made significant strides in label-free bioorthogonal disease study, including the classification of different breast cancer subtypes and the analysis of lipid metabolism in the drosophila and mouse brain. Using our label-free multimodal optical imaging, we're able to visualize the metabolism, morphology, and molecular composition simultaneously, which is a powerful tool for investigating diseases and the aging process.
To begin, warm up the laser and wait for approximately 15 to 20 minutes. Power on the control box, followed by touch panel controller, AC adapter for main laser remote, and AC adapter for sub laser remote, then power on the silicon photo diode detector and lock-in amplifier. Set up the laser system with a pump beam tunable from 780 nanometers to 990 nanometers, with a pulse width of five to six picoseconds and an 80 megahertz repetition rate.
The stokes laser beam should have a fixed wavelength of 1031 nanometers, with a six picoseconds pulse and an 80 megahertz repetition rate. Ensure both pump and stokes beams are at low power, at least 20 milliwatts to be visible on the alignment plate. Apply oil to the high numerical aperture oil condenser.
Mount the microscope slide onto the oil condenser, and place a large water droplet on the microscope slide for the 25X water objective. Adjust the Z stage to tune the focus until the bright brightfield image of the biological sample is visible under the 25X water objective. Begin the imaging process in the correct sequence to avoid photobleaching.
To switch between MPF and SHG quickly, switch from the pump beam to the fixed stokes beam. Select the image resolution as 512 by 512 pixels. Set the dwell time to eight microseconds per pixel for MPF and SHG, with an average frame above three.
Use 40 microseconds per pixel with an average frame of two for the SRS modality. To acquire autofluorescence with MPF, turn off the stokes laser beam. Tune the pump laser to 800 nanometers to excite NADH and flavin.
Acquire the collagen fiber signal using SHG. Turn off the pump laser beam and only use the stokes laser beam at a power of 500 milliwatts. Obtain the spatial distribution of proteins and lipids using SRS.
Keep both laser beams on and adjust the laser beam frequency to match the specific vibrational mode for each molecule. To acquire the SRS hyper-spectral image data sets, select suite mode and set the wavelength range from 781.3 nanometers to 806.5 nanometers. Choose a stack number of at least 60 and capture the hyper-spectral image stack.
Save all images of the same regions of interest in the same folder, and ensure the image format is Olympus OIR file. Autofluorescence and SRS imaging successfully captured metabolic and structural information from human lung tissue. Ratiometric analysis of the optical redox ratio and lipid unsaturation ratio provided spatial distributions of metabolic activity and molecular composition in human lung tissue.
Quantitative comparison of oxidative stress and lipid unsaturation between healthy and tumor tissue reveal differences in metabolic states.
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本研究介绍了一种多模态光学成像平台,可用于可视化并量化细胞动态与代谢过程。通过采用多种成像技术,我们能够深入了解不同病理状态下细胞与分子微环境的变化。
整合了多光子荧光(MPF)、二次谐波生成(SHG)和受激拉曼散射(SRS)模式的多模态光学成像平台,能够以亚细胞分辨率同时、无需标记地定量分析细胞代谢、形态及分子组成。该技术满足了早期发现和转化研究中对高通量、空间分辨的代谢与结构数据的关键需求,有助于提升疾病建模和机制性风险评估的预测可信度。该平台能够对同一生物区域的多种功能信号进行共定位分析,从而增强项目组合决策能力和基于风险调整的推进策略。
该多模态成像平台通过从完整的生物系统中提供多重、定量的数据,连接了早期发现、先导物识别和临床前研究。